Automated parameter deployment for cellular communication networks

ABSTRACT

The described technology is generally directed towards generating and deploying radio access network parameters by a management platform. The management platform can use a defined data structure as a carrier for parameters within the management platform. Newly generated parameters can be placed in the defined data structure. The newly generated parameters can be approved at the management platform for deployment to radio access network devices. A software defined networking function of the management platform can convert a parameter into a specific format utilized at a radio access network, and the software defined networking function can deploy the converted parameter to the radio access network.

RELATED APPLICATION

The subject patent application is a divisional of, and claims priorityto, U.S. patent application Ser. No. 16/701,928, filed Dec. 3, 2019, andentitled “AUTOMATED PARAMETER DEPLOYMENT FOR CELLULAR COMMUNICATIONNETWORKS,” the entirety of which application is hereby incorporated byreference herein.

TECHNICAL FIELD

The subject application is related to wireless communications systems ingeneral, and to fifth generation (5G) and subsequent generation cellularcommunications systems in particular.

BACKGROUND

Network automation platforms, for example, the open network automationplatform (ONAP) developed by the LINUX FOUNDATION®, provide tools toautomatically configure, provision, manage and test network devices.Communication service providers, for example, AT&T® Corporation andothers, employ network automation platforms within their respective corenetworks to interact with and manage radio access network (RAN) devicesprovided by multiple different vendors.

In order to manage network devices, a network automation platform cancollect and analyze network device data, for example, data from variousRAN devices. The network automation platform can develop new parameters,e.g., to optimize operations of the RAN devices, and the parameters canbe deployed, e.g., to RAN element management systems (EMS), which canthen deploy the parameters to RAN devices. The parameters can provideuseful interface elements which can be adjusted as needed to accommodatedifferent network circumstances and network use cases.

Deploying new parameters to RAN devices, however, presents technicalchallenges which have so far required varying degrees of humaninvolvement. Meanwhile, the complexity of networks and the number ofdifferent use cases for network devices is projected to expand with theadvent of Fifth Generation (5G) and subsequent generation networks.Therefore, there is a need in the industry to further automatedeployment of parameters from network automation platforms to EMS andRAN devices.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system, inaccordance with various aspects and embodiments of the subjectdisclosure.

FIG. 2 illustrates an example architecture comprising a core networkequipped with a management platform, wherein the management platformdeploys parameters to radio access network (RAN) devices via RAN elementmanagement systems (EMS), in accordance with various aspects andembodiments of the subject disclosure.

FIG. 3 illustrates components of an example management platform equippedto generate parameters for RAN devices and deploy the parameters to theRAN, in accordance with various aspects and embodiments of the subjectdisclosure.

FIG. 4 illustrates a subset of the components illustrated in FIG. 3, andexample management platform processing to deploy a parameter from themanagement platform to a RAN, in accordance with various aspects andembodiments of the subject disclosure.

FIG. 5 illustrates an example data collection, analysis and events(DCAE) function of a management platform, in accordance with variousaspects and embodiments of the subject disclosure.

FIG. 6 illustrates an example software defined networking (SDN) functionof a management platform, in accordance with various aspects andembodiments of the subject disclosure.

FIG. 7 is a flow diagram representing example DCAE operations togenerate a new parameter for deployment to a RAN, in accordance withvarious aspects and embodiments of the subject disclosure.

FIG. 8 is a flow diagram representing example management platformoperations to generate and deploy a new parameter to a RAN, inaccordance with various aspects and embodiments of the subjectdisclosure.

FIG. 9 is a flow diagram representing example SDN operations to processand deploy a new parameter to a RAN, in accordance with various aspectsand embodiments of the subject disclosure.

FIG. 10 is a block diagram of an example computer that can be operableto execute processes and methods in accordance with various aspects andembodiments of the subject disclosure.

DETAILED DESCRIPTION

One or more embodiments are now described with reference to thedrawings, wherein like reference numerals are used to refer to likeelements throughout. In the following description, for purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of the various embodiments. It is evident,however, that the various embodiments can be practiced without thesespecific details, and without applying to any particular networkedenvironment or standard.

One or more aspects of the technology described herein are generallydirected towards generation and deployment, by a management platform, ofRAN parameters to RAN devices. Example embodiments can utilize a defineddata structure, defined within a management platform as a carrier forparameters. Newly generated parameters can be placed in the defined datastructure. The newly generated parameters can be approved at themanagement platform for deployment to RAN devices. In order to deploy aparameter to RAN devices, a SDN function of the management platform canconvert the parameter into a specific format utilized at a RAN EMS, andthe SDN function can send the converted parameter to the RAN EMS, e.g.,via an applicable application programming interface (API).

As used in this disclosure, in some embodiments, the terms “component,”“system” and the like are intended to refer to, or comprise, acomputer-related entity or an entity related to an operational apparatuswith one or more specific functionalities, wherein the entity can beeither hardware, a combination of hardware and software, software, orsoftware in execution. As an example, a component can be, but is notlimited to being, a process running on a processor, a processor, anobject, an executable, a thread of execution, computer-executableinstructions, a program, and/or a computer. By way of illustration andnot limitation, both an application running on a server and the servercan be a component.

One or more components can reside within a process and/or thread ofexecution and a component can be localized on one computer and/ordistributed between two or more computers. In addition, these componentscan execute from various computer readable media having various datastructures stored thereon. The components can communicate via localand/or remote processes such as in accordance with a signal having oneor more data packets (e.g., data from one component interacting withanother component in a local system, distributed system, and/or across anetwork such as the internet with other systems via the signal). Asanother example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry, which is operated by a software application orfirmware application executed by a processor, wherein the processor canbe internal or external to the apparatus and executes at least a part ofthe software or firmware application. As yet another example, acomponent can be an apparatus that provides specific functionalitythrough electronic components without mechanical parts, the electroniccomponents can comprise a processor therein to execute software orfirmware that confers at least in part the functionality of theelectronic components. While various components have been illustrated asseparate components, it will be appreciated that multiple components canbe implemented as a single component, or a single component can beimplemented as multiple components, without departing from exampleembodiments.

The term “facilitate” as used herein is in the context of a system,device or component “facilitating” one or more actions or operations, inrespect of the nature of complex computing environments in whichmultiple components and/or multiple devices can be involved in somecomputing operations. Non-limiting examples of actions that may or maynot involve multiple components and/or multiple devices comprisetransmitting or receiving data, establishing a connection betweendevices, determining intermediate results toward obtaining a result,etc. In this regard, a computing device or component can facilitate anoperation by playing any part in accomplishing the operation. Whenoperations of a component are described herein, it is thus to beunderstood that where the operations are described as facilitated by thecomponent, the operations can be optionally completed with thecooperation of one or more other computing devices or components, suchas, but not limited to, sensors, antennae, audio and/or visual outputdevices, other devices, etc.

Further, the various embodiments can be implemented as a method,apparatus or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable (or machine-readable) device or computer-readable (ormachine-readable) storage/communications media. For example, computerreadable storage media can comprise, but are not limited to, magneticstorage devices (e.g., hard disk, floppy disk, magnetic strips), opticaldisks (e.g., compact disk (CD), digital versatile disk (DVD)), smartcards, and flash memory devices (e.g., card, stick, key drive). Ofcourse, those skilled in the art will recognize many modifications canbe made to this configuration without departing from the scope or spiritof the various embodiments.

Moreover, terms such as “mobile device equipment,” “mobile station,”“mobile,” subscriber station,” “access terminal,” “terminal,” “handset,”“communication device,” “mobile device” (and/or terms representingsimilar terminology) can refer to a wireless device utilized by asubscriber or mobile device of a wireless communication service toreceive or convey data, control, voice, video, sound, gaming orsubstantially any data-stream or signaling-stream. The foregoing termsare utilized interchangeably herein and with reference to the relateddrawings. Likewise, the terms “access point (AP),” “Base Station (BS),”BS transceiver, BS device, cell site, cell site device, “gNode B (gNB),”“evolved Node B (eNode B),” “home Node B (HNB)” and the like, areutilized interchangeably in the application, and refer to a wirelessnetwork component or appliance that transmits and/or receives data,control, voice, video, sound, gaming or substantially any data-stream orsignaling-stream from one or more subscriber stations. Data andsignaling streams can be packetized or frame-based flows.

Furthermore, the terms “device,” “communication device,” “mobiledevice,” “subscriber,” “customer entity,” “consumer,” “customer entity,”“entity” and the like are employed interchangeably throughout, unlesscontext warrants particular distinctions among the terms. It should beappreciated that such terms can refer to human entities or automatedcomponents supported through artificial intelligence (e.g., a capacityto make inference based on complex mathematical formalisms), which canprovide simulated vision, sound recognition and so forth.

Embodiments described herein can be exploited in substantially anywireless communication technology, comprising, but not limited to,wireless fidelity (Wi-Fi), global system for mobile communications(GSM), universal mobile telecommunications system (UMTS), worldwideinteroperability for microwave access (WiMAX), enhanced general packetradio service (enhanced GPRS), third generation partnership project(3GPP) long term evolution (LTE), third generation partnership project 2(3GPP2) ultra-mobile broadband (UMB), fifth generation core (5G Core),fifth generation option 3x (5G Option 3x), high speed packet access(HSPA), Z-Wave, Zigbee and other 802.XX wireless technologies and/orlegacy telecommunication technologies.

FIG. 1 illustrates a non-limiting example of a wireless communicationsystem 100 in accordance with various aspects and embodiments of thesubject disclosure. In one or more embodiments, system 100 can compriseone or more user equipment UEs 102 ₁, 102 ₂, referred to collectively asUEs 102, a network node 104, and communication service providernetwork(s) 106.

The non-limiting term “user equipment” can refer to any type of devicethat can communicate with a network node 104 in a cellular or mobilecommunication system 100. UEs 102 can have one or more antenna panelshaving vertical and horizontal elements. Examples of UEs 102 comprisetarget devices, device to device (D2D) UEs, machine type UEs or UEscapable of machine to machine (M2M) communications, personal digitalassistants (PDAs), tablets, mobile terminals, smart phones, laptopmounted equipment (LME), universal serial bus (USB) dongles enabled formobile communications, computers having mobile capabilities, mobiledevices such as cellular phones, laptops having laptop embeddedequipment (LEE, such as a mobile broadband adapter), tablet computershaving mobile broadband adapters, wearable devices, virtual reality (VR)devices, heads-up display (HUD) devices, smart cars, machine-typecommunication (MTC) devices, and the like. UEs 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 comprises communication serviceprovider network(s) 106 serviced by one or more wireless communicationnetwork providers. Communication service provider network(s) 106 caninclude a “core network”. In example embodiments, UEs 102 can becommunicatively coupled to the communication service provider network(s)106 via network node 104. The network node 104 (e.g., network nodedevice) can communicate with UEs 102, thus providing connectivitybetween the UEs 102 and the wider cellular network. The UEs 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node 104 can have a cabinet and other protected enclosures,computing devices, an antenna mast, and multiple antennas for performingvarious transmission operations (e.g., MIMO operations). Network node104 can comprise one or more base station devices which implementfeatures of the network node 104. Network nodes can serve several cells,also called sectors, depending on the configuration and type of antenna.In example embodiments, UEs 102 can send and/or receive communicationdata via a wireless link to the network node 104. The dashed arrow linesfrom the network node 104 to the UEs 102 represent downlink (DL)communications and the solid arrow lines from the UEs 102 to the networknode 104 represents an uplink (UL) communications.

Communication service provider networks 106 can facilitate providingwireless communication services to UEs 102 via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, interne protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, millimeter wave networks andthe like. For example, in at least one implementation, system 100 can beor include a large scale wireless communication network that spansvarious geographic areas. According to this implementation, the one ormore communication service provider networks 106 can be or include thewireless communication network and/or various additional devices andcomponents of the wireless communication network (e.g., additionalnetwork devices and cell, additional UEs, network server devices, etc.).

The network node 104 can be connected to the one or more communicationservice provider networks 106 via one or more backhaul links 108. Forexample, the one or more backhaul links 108 can comprise wired linkcomponents, such as a T1/E1 phone line, a digital subscriber line (DSL)(e.g., either synchronous or asynchronous), an asymmetric DSL (ADSL), anoptical fiber backbone, a coaxial cable, and the like. The one or morebackhaul links 108 can also include wireless link components, such asbut not limited to, line-of-sight (LOS) or non-LOS links which caninclude terrestrial air-interfaces or deep space links (e.g., satellitecommunication links for navigation). In an embodiment, network node 104can be part of an integrated access and backhaul network. This may alloweasier deployment of a dense network of self-backhauled 5G cells in amore integrated manner by building upon many of the control and datachannels/procedures defined for providing access to UEs.

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network device104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G or subsequent generation wireless networking features andfunctionalities. 5G wireless communication networks are expected tofulfill the demand of exponentially increasing data traffic and to allowpeople and machines to enjoy gigabit data rates with virtually zerolatency. Compared to 4G, 5G supports more diverse traffic scenarios. Forexample, in addition to the various types of data communication betweenconventional UEs (e.g., phones, smartphones, tablets, PCs, televisions,internet enabled televisions, etc.) supported by 4G networks, 5Gnetworks can be employed to support data communication between smartcars in association with driverless car environments, as well as machinetype communications (MTCs). Considering the drastic differentcommunication needs of these different traffic scenarios, the ability todynamically configure waveform parameters based on traffic scenarioswhile retaining the benefits of multi carrier modulation schemes (e.g.,OFDM and related schemes) can provide a significant contribution to thehigh speed/capacity and low latency demands of 5G networks. Withwaveforms that split the bandwidth into several sub-bands, differenttypes of services can be accommodated in different sub-bands with themost suitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks can comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks can allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network can utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 GHz and 300 GHzis underutilized. The millimeter waves have shorter wavelengths thatrange from 10 millimeters to 1 millimeter, and these mmWave signalsexperience severe path loss, penetration loss, and fading. However, theshorter wavelength at mmWave frequencies also allows more antennas to bepacked in the same physical dimension, which allows for large-scalespatial multiplexing and highly directional beamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the 3GPP and has been in use(including with LTE), is a multi-antenna technique that can improve thespectral efficiency of transmissions, thereby significantly boosting theoverall data carrying capacity of wireless systems. The use of MIMOtechniques can improve mmWave communications and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems and are planned for use in 5G systems.

FIG. 2 illustrates an example architecture comprising a core networkequipped with a management platform, wherein the management platformdeploys parameters to radio access network (RAN) devices via RAN elementmanagement systems (EMS), in accordance with various aspects andembodiments of the subject disclosure. FIG. 2 includes a core network210 and a RAN 230. A management platform 211 is illustrated inside corenetwork 210. RAN 230 comprises two example EMS 233, 237, each EMS havingits respective API 232, 236. RAN 230 further comprises RAN devices 234,235, 238, and 239, wherein EMS 233 manages devices 234 and 235, and EMS237 manages devices 238 and 239. RAN devices 234, 235, 238, and 239 cancomprise, e.g., devices at RAN base stations, devices at network nodessuch as 104 in FIG. 1, as well as other network devices. In someembodiments, management platform 211 can comprise, manage and/orinteract with a NAP, such as an ONAP type NAP, which can optionally bemodified to serve as a NAP for a particular communication serviceprovider.

In FIG. 2, management platform 211 deploys parameter 221 to EMS 233 viaAPI 232. EMS 233 can then deploy parameter 221 to devices managed by EMS233, such as device 234 and device 235. Similarly, management platform211 deploys parameter 223 to EMS 237 via API 236. EMS 237 can thendeploy parameter 223 to devices managed by EMS 237, such as device 238and device 239.

Management platform 211 can furthermore deploy settings to EMS 233and/or EMS 234. Settings can include, e.g., parameter values forparameter 221 and/or parameter 223. EMS 233 or EMS 237 can managedevices 234, 235, 238, 239 in part, by deploying settings to thesedevices. Thus, once a parameter such as 221 is configured at devices 234and 235, management platform 211 can optionally control the parametervalue by deploying settings in real-time or near real time as desired tooptimize the RAN 230. In some cases, parameter 221 values can also bemodified in real-time or near real-time by EMS 233 and/or the devices234, 235.

Furthermore, RAN devices 234, 235, 238, and 239 can optionally reportRAN data 240 to management platform 211. RAN data 240 can be analyzed atmanagement platform 211 to determine whether further parameters can bebeneficially deployed to RAN devices 234, 235, 238, and 239. In responseto management platform 211 identifying further useful parameters, suchparameters can be deployed to RAN 230 in similar fashion to deploymentof parameters 221 and 223, and such parameters can optionally be managedby deploying additional parameter settings to RAN 230.

Aspects of this disclosure relate to techniques at management platform211 to generate and deploy parameters, such as 221 and 223, to EMS suchas 233 and 237. Multiple different EMS in a RAN 230 can comprise, e.g.,EMS provided by different vendors. As such, different EMS 233, 237 canimplement different protocols and requirements. Aspects of thisdisclosure can improve automation in deployment of parameters 221, 223to multiple different EMS 233, 237.

In some embodiments, the structures and techniques disclosed herein canbe performed in conjunction with, or supplemented by, aspects ofprevious approaches to parameter deployment, as will be appreciated. Forexample, in one approach to parameter deployment, a specific parametercan be hard-coded at management platform 211 for use by a specific EMS.The management platform 211 can then send the code implementing thespecific parameter to the corresponding EMS.

In another approach to parameter deployment, a model-driven techniquecan be used. The management platform 211 can apply a defined model as abridge between management platform 211 and an EMS. The defined model canprovide a generic framework to generate code that implements a parameterat an EMS. The defined model includes a description of specificattributes. Once code is generated based on the model, the managementplatform 211 can then send the code implementing the parameter to theEMS.

In parameter deployment techniques according to this disclosure, amodel-free framework can be implemented at management platform 211, inwhich a technique to describe parameters is defined for managementplatform 211, rather than defining or exposing specific parameter names.Parameters defined according to the techniques disclosed herein can bemodified to meet requirements of any EMS, as will be described furtherherein.

FIG. 3 illustrates components of an example management platform equippedto generate parameters for RAN devices and deploy the parameters to theRAN in accordance with various aspects and embodiments of the subjectdisclosure. In some embodiments, the example management platform 300illustrated in FIG. 3 can implement, e.g., the management platform 211illustrated in FIG. 2. Example management platform 300 includes acontrol loop coordinator (CLC) 302, a policy manager 304, a datamovement as a platform (DMaaP) 305, a DCAE 306, and a SDN 308. The CLC302, policy manager 304, DCAE 306, and SDN 308 are connected to theDMaaP 305, and the various components of the management platform 300 canthereby communicate through DMaaP 305. In some embodiments, the SDN 308can comprise, e.g., a software defined network-radio (SDN-R) type SDNfunction or device.

In FIG. 3, RAN data 240, introduced in FIG. 2, can be collected at DCAE306. DCAE 306 can analyze collected RAN data 240 and suggest/generateparameters for RAN devices, based on the analysis, as described herein.The DCAE 306 can place a parameter in a defined data structure, alsoreferred to herein as a payload 310. The payload 310 can be sent fromDCAE 306 to CLC 302 and policy manager 304 via DMaaP 305. CLC 302 andpolicy manager 304 can evaluate the parameter in payload 310, andapprove or disapprove the parameter. If approved, the payload 310 withthe parameter can be sent to SDN 308 via DMaaP 305. SDN 308 can use theparameter in the payload 310 to generate a modified data structure,referred to herein as a RAN file 312, which can comprise a file or otherdata structure having properties which meet syntax and otherrequirements for a particular EMS, such as EMS 233 or EMS 237 in FIG. 2.SDN 308 can deploy the RAN file 312 to the applicable EMS.

FIG. 4 illustrates a subset of the components illustrated in FIG. 3, andexample management platform processing to deploy a parameter from themanagement platform to a RAN, in accordance with various aspects andembodiments of the subject disclosure. FIG. 4 includes a DMaaP 402, aSDN 404, and an EMS 433. In some embodiments, the structures andtechniques illustrated in FIG. 4 can be incorporated into a managementplatform 300 such as described in connection with FIG. 3. DMaaP 402comprises a payload 412 which includes a parameter 414. The payload 412is provided from DMaaP to SDN 404. SDN 404 comprises multiple adaptors,e.g., an adaptor 406 and an adaptor 408. The payload 412 can beprovided, e.g., to adaptor 406, wherein adaptor 406 is the adaptor forEMS 433. Adaptor 406 can generate a RAN file 416 based on the payload412. RAN file 416 can include an appropriately formatted parameter forEMS 433, wherein the appropriately formatted parameter is based onparameter 414. SDN 404 can deploy the RAN file 416 to the EMS 433through an interaction with API 432.

FIG. 5 illustrates an example data collection, analysis and events(DCAE) function of a management platform, in accordance with variousaspects and embodiments of the subject disclosure. FIG. 5 includesexample DCAE 500. DCAE 500 comprises data collectors 510 and analyticsmicroservices 520. In some embodiments, a DCAE such as DCAE 500 can beincorporated into a management platform 300 such as illustrated in FIG.3.

In FIG. 5, RAN data 240, e.g., data from RAN devices such as illustratedin FIG. 2, can be collected by data collectors 510. Different datacollectors can optionally collect and organize different types of RANdata. Analytics and microservices 520 can process data collected by datacollectors 510 in order to identify opportunities to improve thefunction of RAN devices, e.g., by identifying new parameters to optimizeprocessing by RAN devices or communications between RAN devices. Onceidentified, a new parameter 532 can be placed in a payload 530, whereinpayload 530 is a defined data structure according to this disclosure.The payload 530 can be sent to a DMaaP, where payload 530 cansubsequently be sent to a CLC, policy manager, and SDN components of amanagement platform, and the parameter 532 can ultimately be deployedfrom the SDN, as described in connection with FIG. 3.

FIG. 6 illustrates an example software defined networking (SDN) functionof a management platform, in accordance with various aspects andembodiments of the subject disclosure. In some embodiments, an SDN suchas SDN 600 can be incorporated into a management platform 300 such asillustrated in FIG. 3. Example SDN 600 includes DMaaP interface(s) 602and an example adaptor 604. One example adaptor 604 is illustrated inFIG. 6, however embodiments can include multiple adaptors, e.g., asillustrated in FIG. 4. Adaptor 604 includes check syntax 605, storeconverted parameter(s) 606, compose RAN file 607, and EMS interface 608.

In FIG. 6, a payload 620 comprising a parameter 622 can be received atDMaaP interface(s) 602. The DMaaP interface(s) 602 can send the payload620 to an appropriate adaptor, e.g., adaptor 604, to generate a RAN file610 for a destination EMS 633. The adaptor 604 can generate RAN file 610based on the payload 620, and adaptor 604 can deploy the RAN file 610 toan API 632 for the destination EMS 633.

FIG. 6 illustrates example components and operations of adaptor 604. Thecheck syntax block 605 can for example convert a syntax of the parameter622 into a syntax used at EMS 633. In some embodiments, check syntaxblock 605 can for example string match the parameter 622 with a regularexpression, e.g. {circumflex over( )}([a-z|A-z]+=[a-z|A-Z|0-9]+,)+[a-z|A-z]+=[a-z|A-Z|0-9]+$. Stringmatching is one possible implementation, however this disclosure is notlimited to any particular syntax conversion technique.

The store converted parameter(s) block 606 can store suggested convertedparameter values calculated by check syntax block 605 based on parameter622. For example, a data structure comprising key/value pairs, such asset forth below can be used to store converted parameter values:

-   -   Key: aaaa,bbbb    -   Values: Parm1=yyy    -   Key: eeee,ffff    -   Values: Parm1=yyy2

It will be appreciated that there are many options for storing data andthis disclosure is not limited to any data storage format or technique.

The compose RAN file block 607 can generate a RAN file, such as RAN file610, from the converted parameter values stored at block 606. In someembodiments, for a given input, compose RAN file block 607 can compose adynamic format file output for a particular EMS, such as EMS 633. Belowis example data for a RAN file 610, based on a payload such as payload620 or payload 412, illustrated in FIG. 4, and the converted parametervalues suggested above:

-   -   SET    -   ‘location info for resource’    -   Parm1=yyy    -   SET    -   ‘location info for resource’    -   Parm 1=yyy2

The EMS interface block 608 can send the composed RAN file 610 to anappropriate EMS 633, for example by passing the RAN file 610 to API 632.In some embodiments, the RAN file 610 can be sent along with avalidation option for a semantic check at EMS 633.

FIG. 7 is a flow diagram representing example DCAE operations togenerate a new parameter for deployment to a RAN, in accordance withvarious aspects and embodiments of the subject disclosure. Theillustrated blocks can represent actions performed in a method,functional components of a computing device, or instructions implementedin a machine-readable storage medium executable by a processor. Whilethe operations are illustrated in an example sequence, the operationscan be eliminated, combined, or re-ordered in some embodiments.

Example operations comprise operations 702 and 704. Block 702 representscollecting RAN data for analysis via a DCAE function of a managementplatform. Block 704 represents analyzing RAN data by analytic microservices of the DCAE. For example, as illustrated in FIG. 5, at block702 data collectors 510 of DCAE 500 can collect RAN data 240 foranalysis. At block 704, analytics microservices 520 of the DCAE 500 cananalyze RAN data 240.

Example operations comprise operation 706, which represents generating,via the DCAE, a parameter for the RAN. For example, as illustrated inFIG. 5, analytics microservices 520 of the DCAE 500 can generate, basedon the analysis of RAN data 240 at block 704, a parameter, e.g.,parameter 532, for the RAN or a subset of the RAN which supplied the RANdata 240.

Example operations comprise operation 708, which represents including,via the DCAE, the parameter for the RAN in an instance of a defined datastructure. For example, as illustrated in FIG. 5, analyticsmicroservices 520 of the DCAE 500 can include the parameter 532 inpayload 530, wherein payload 530 is an instance of a defined datastructure. A definition of the defined payload 530 data structure canpermit different instances of the payload 530 defined data structure toinclude different parameters for different RANs. Parameters in payloadscan optionally be required to conform to any desired parameterdefinition rules, e.g., for parameter semantics, syntax, structure, orother properties.

Example operations comprise operation 710, which represents outputting,via the DCAE, the instance of the defined data structure. For example,as illustrated in FIG. 5, DCAE 500 can output payload 530 to DMaaP.After output of the payload 530 by DCAE 500, a CLC 302 and policymanager 304 can be used to approve the parameter 532, e.g., as describedin connection with FIG. 3. The payload 530 can then be sent via a DMaaPinterface, e.g., DMaaP interface(s) 602, illustrated in FIG. 6, to anSDN device such as SDN 600. SDN 600 can receive the payload 530, formatthe payload 530 for the RAN, and deliver a corresponding formatted datastructure, namely, RAN file 610 to the EMS 633 for the RAN. SDN 600 canformat the payload 530 for the RAN by modifying the parameter, e.g.,parameter 532 or 622, to conform to a syntax used by the RAN EMS.

FIG. 8 is a flow diagram representing example management platformoperations to generate and deploy a new parameter to a RAN, inaccordance with various aspects and embodiments of the subjectdisclosure. The illustrated blocks can represent actions performed in amethod, functional components of a computing device, or instructionsimplemented in a machine-readable storage medium executable by aprocessor. While the operations are illustrated in an example sequence,the operations can be eliminated, combined, or re-ordered in someembodiments.

Example operations comprise operation 802, which represents generating,by a management platform device comprising a processor, a parameter fordeployment to a RAN EMS. For example, as illustrated in FIG. 3, a deviceof management platform 300 that hosts the DCAE 306 can collect andanalyze RAN data 240 in order to generate a parameter for deployment toa RAN EMS. Example operations furthermore comprise operation 804, whichrepresents including, by the management platform device, the parameterin a management platform payload. For example, as illustrated in FIG. 3,the device of management platform 300 that hosts the DCAE 306 caninclude the generated parameter in a management platform payload 310.

Example operations comprise operation 806, which represents approving,by the management platform, the parameter based on an analysis of theparameter. For example, as illustrated in FIG. 3, DMaaP 305 can deliverthe payload 310 to CLC 302 and/or policy manager 304. CLC 302 and/orpolicy manager 304 can analyze the parameter included in payload 310,e.g., by comparing the parameter to other management platform 300parameters to prevent parameter redundancy, or by checking whether theparameter complies with management platform policies. CLC 302 and/orpolicy manager 304 can approve or disapprove the parameter based on theanalysis of the parameter. If approved, the parameter and payload 310can pass to SDN 308 for deployment.

Example operations comprise operation 808, which represents generating,by the management platform device, a RAN file based on the managementplatform payload. For example, as illustrated in FIG. 3, a device ofmanagement platform 300 hosting SDN 308 can generate RAN file 312 basedon the management platform payload 310. The RAN file 312 can comprise,e.g., any file properties associated with the RAN EMS to which the RANfile 312 is to be delivered. For example, the RAN file 312 propertiescan include syntax properties to comply with requirements of the RANEMS. Generating the RAN file 312 based on the payload 310 can comprise,e.g., converting the parameter into the EMS syntax.

Example operations comprise operation 810, which represents deploying,by the management platform device, the RAN file to the RAN EMS. Forexample, as illustrated in FIG. 3, a device of management platform 300hosting SDN 308 can deploy RAN file 312 to the RAN EMS, such as EMS 233illustrated in FIG. 2, or EMS 633 illustrated in FIG. 6. In anembodiment, the RAN file 312 can be deployed to the EMS 233 via an EMSAPI 232, illustrated in FIG. 2. In scenarios wherein multiple differentRAN files are generated for multiple different RAN EMS, such as EMS 233and EMS 237, illustrated in FIG. 2, the SDN 308 can use differentrespective adaptors, such as adaptor 406 and adaptor 408, illustrated inFIG. 4, to generate the RAN files for the different respective EMS 233,237.

FIG. 9 is a flow diagram representing example SDN operations to processand deploy a new parameter to a RAN, in accordance with various aspectsand embodiments of the subject disclosure. The illustrated blocks canrepresent actions performed in a method, functional components of acomputing device, or instructions implemented in a machine-readablestorage medium executable by a processor. While the operations areillustrated in an example sequence, the operations can be eliminated,combined, or re-ordered in some embodiments.

Example operations comprise operation 902, which represents receiving,via a first interface associated with a management platform, a payloadof the management platform comprising a parameter for deployment to aRAN EMS. For example, as illustrated in FIG. 6, SDN 600 can receive, viaa first interface of DMaaP interface(s) 602, a payload 620 of amanagement platform, such as management platform 300 illustrated in FIG.3, wherein payload 620 comprises a parameter 622 for deployment to a RANEMS 633. The payload 620 can comprise a data type which is definedwithin a management platform comprising the SDN 600 to designatemanagement platform parameters for deployment to RAN EMS. The data typefor payload 620 can be generic to multiple potential RAN EMS.

Example operations comprise operation 904, which represents generating aRAN file based on the payload, wherein the RAN file comprises a propertyassociated with the RAN EMS. For example, as illustrated in FIG. 6, SDN600 can generate RAN file 610 based on payload 620. RAN file 610 can beconfigured to include properties needed by, or associated with, the RANEMS 633.

In some embodiments, the property of the RAN file 610 associated withthe RAN EMS can comprise a syntax used by the RAN EMS, and generatingthe RAN file 610 based on the payload 620 can comprise converting theparameter 622 into the syntax, e.g., by the check syntax function 605 ofthe adaptor 604.

Example operations comprise operation 906, which represents deploying,to the RAN EMS via a second interface associated with the RAN EMS, theRAN file. For example, as illustrated in FIG. 6, SDN 600 can deploy theRAN file 610 to the RAN EMS 633 via a second interface, such as the API632 associated with the RAN EMS 633. An embodiment such as illustratedin FIG. 4 can be used to deploy multiple different RAN files to multipledifferent RAN EMS. The different RAN files can be generated by thedifferent adaptors 406, 408, and the different RAN files can be deployedvia multiple different interfaces, e.g., the APIs 232, 236 illustratedin FIG. 2.

Example operations comprise operation 908, which represents requesting,via the second interface, an identification of parameters used by theRAN EMS. Operation 908 is an optional operation to gather currentparameter information from an EMS. For example, as illustrated in FIG.6, SDN 600 can request, via the API 632, an identification of parametersused by the RAN EMS 633. EMS 633 can return to SDN 600 a list ofparameters that are currently in use by various RAN elements managed bythe EMS 633. The SDN 600 can send the list of parameters, via a DMaaP305 to other management platform 300 functions.

FIG. 10 is a block diagram of an example computer that can be operableto execute processes and methods in accordance with various aspects andembodiments of the subject disclosure. The example computer can beadapted to implement, for example, a management platform computingdevice, a RAN device, or an EMS device, as described herein.

FIG. 10 and the following discussion are intended to provide a brief,general description of a suitable computing environment 1000 in whichthe various embodiments of the embodiment described herein can beimplemented. While the embodiments have been described above in thegeneral context of computer-executable instructions that can run on oneor more computers, those skilled in the art will recognize that theembodiments can be also implemented in combination with other programmodules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, IoT devices, distributedcomputing systems, as well as personal computers, hand-held computingdevices, microprocessor-based or programmable consumer electronics, andthe like, each of which can be operatively coupled to one or moreassociated devices.

The illustrated embodiments of the embodiments herein can be alsopracticed in distributed computing environments where certain tasks areperformed by remote processing devices that are linked through acommunications network. In a distributed computing environment, programmodules can be located in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media, machine-readable storage media,and/or communications media, which two terms are used herein differentlyfrom one another as follows. Computer-readable storage media ormachine-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media or machine-readablestorage media can be implemented in connection with any method ortechnology for storage of information such as computer-readable ormachine-readable instructions, program modules, structured data orunstructured data.

Computer-readable storage media can include, but are not limited to,random access memory (RAM), read only memory (ROM), electricallyerasable programmable read only memory (EEPROM), flash memory or othermemory technology, compact disk read only memory (CD-ROM), digitalversatile disk (DVD), Blu-ray disc (BD) or other optical disk storage,magnetic cassettes, magnetic tape, magnetic disk storage or othermagnetic storage devices, solid state drives or other solid statestorage devices, or other tangible and/or non-transitory media which canbe used to store desired information. In this regard, the terms“tangible” or “non-transitory” herein as applied to storage, memory orcomputer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local orremote computing devices, e.g., via access requests, queries or otherdata retrieval protocols, for a variety of operations with respect tothe information stored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 10, the example environment 1000 forimplementing various embodiments of the aspects described hereinincludes a computer 1002, the computer 1002 including a processing unit1004, a system memory 1006 and a system bus 1008. The system bus 1008couples system components including, but not limited to, the systemmemory 1006 to the processing unit 1004. The processing unit 1004 can beany of various commercially available processors. Dual microprocessorsand other multi-processor architectures can also be employed as theprocessing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes ROM 1010 and RAM 1012. A basic input/output system (BIOS) canbe stored in a non-volatile memory such as ROM, erasable programmableread only memory (EPROM), EEPROM, which BIOS contains the basic routinesthat help to transfer information between elements within the computer1002, such as during startup. The RAM 1012 can also include a high-speedRAM such as static RAM for caching data.

The computer 1002 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), one or more external storage devices 1016(e.g., a magnetic floppy disk drive (FDD) 1016, a memory stick or flashdrive reader, a memory card reader, etc.) and an optical disk drive 1020(e.g., which can read or write from a CD-ROM disc, a DVD, a BD, etc.).While the internal HDD 1014 is illustrated as located within thecomputer 1002, the internal HDD 1014 can also be configured for externaluse in a suitable chassis (not shown). Additionally, while not shown inenvironment 1000, a solid state drive (SSD) could be used in additionto, or in place of, an HDD 1014. The HDD 1014, external storagedevice(s) 1016 and optical disk drive 1020 can be connected to thesystem bus 1008 by an HDD interface 1024, an external storage interface1026 and an optical drive interface 1028, respectively. The interface1024 for external drive implementations can include at least one or bothof Universal Serial Bus (USB) and Institute of Electrical andElectronics Engineers (IEEE) 1394 interface technologies. Other externaldrive connection technologies are within contemplation of theembodiments described herein.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1002, the drives andstorage media accommodate the storage of any data in a suitable digitalformat. Although the description of computer-readable storage mediaabove refers to respective types of storage devices, it should beappreciated by those skilled in the art that other types of storagemedia which are readable by a computer, whether presently existing ordeveloped in the future, could also be used in the example operatingenvironment, and further, that any such storage media can containcomputer-executable instructions for performing the methods describedherein.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. The systems and methods described herein can beimplemented utilizing various commercially available operating systemsor combinations of operating systems.

Computer 1002 can optionally comprise emulation technologies. Forexample, a hypervisor (not shown) or other intermediary can emulate ahardware environment for operating system 1030, and the emulatedhardware can optionally be different from the hardware illustrated inFIG. 10. In such an embodiment, operating system 1030 can comprise onevirtual machine (VM) of multiple VMs hosted at computer 1002.Furthermore, operating system 1030 can provide runtime environments,such as the Java runtime environment or the .NET framework, forapplications 1032. Runtime environments are consistent executionenvironments that allow applications 1032 to run on any operating systemthat includes the runtime environment. Similarly, operating system 1030can support containers, and applications 1032 can be in the form ofcontainers, which are lightweight, standalone, executable packages ofsoftware that include, e.g., code, runtime, system tools, systemlibraries and settings for an application.

Further, computer 1002 can be enable with a security module, such as atrusted processing module (TPM). For instance with a TPM, bootcomponents hash next in time boot components, and wait for a match ofresults to secured values, before loading a next boot component. Thisprocess can take place at any layer in the code execution stack ofcomputer 1002, e.g., applied at the application execution level or atthe operating system (OS) kernel level, thereby enabling security at anylevel of code execution.

A user can enter commands and information into the computer 1002 throughone or more wired/wireless input devices, e.g., a keyboard 1038, a touchscreen 1040, and a pointing device, such as a mouse 1042. Other inputdevices (not shown) can include a microphone, an infrared (IR) remotecontrol, a radio frequency (RF) remote control, or other remote control,a joystick, a virtual reality controller and/or virtual reality headset,a game pad, a stylus pen, an image input device, e.g., camera(s), agesture sensor input device, a vision movement sensor input device, anemotion or facial detection device, a biometric input device, e.g.,fingerprint or iris scanner, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1044 that can be coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, a BLUETOOTH®interface, etc.

A monitor 1046 or other type of display device can be also connected tothe system bus 1008 via an interface, such as a video adapter 1048. Inaddition to the monitor 1046, a computer typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1002 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1050. The remotecomputer(s) 1050 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer1002, although, for purposes of brevity, only a memory/storage device1052 is illustrated. The logical connections depicted includewired/wireless connectivity to a local area network (LAN) 1054 and/orlarger networks, e.g., a wide area network (WAN) 1056. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theinternet.

When used in a LAN networking environment, the computer 1002 can beconnected to the local network 1054 through a wired and/or wirelesscommunication network interface or adapter 1058. The adapter 1058 canfacilitate wired or wireless communication to the LAN 1054, which canalso include a wireless access point (AP) disposed thereon forcommunicating with the adapter 1058 in a wireless mode.

When used in a WAN networking environment, the computer 1002 can includea modem 1060 or can be connected to a communications server on the WAN1056 via other means for establishing communications over the WAN 1056,such as by way of the internet. The modem 1060, which can be internal orexternal and a wired or wireless device, can be connected to the systembus 1008 via the input device interface 1044. In a networkedenvironment, program modules depicted relative to the computer 1002 orportions thereof, can be stored in the remote memory/storage device1052. It will be appreciated that the network connections shown areexample and other means of establishing a communications link betweenthe computers can be used.

When used in either a LAN or WAN networking environment, the computer1002 can access cloud storage systems or other network-based storagesystems in addition to, or in place of, external storage devices 1016 asdescribed above. Generally, a connection between the computer 1002 and acloud storage system can be established over a LAN 1054 or WAN 1056e.g., by the adapter 1058 or modem 1060, respectively. Upon connectingthe computer 1002 to an associated cloud storage system, the externalstorage interface 1026 can, with the aid of the adapter 1058 and/ormodem 1060, manage storage provided by the cloud storage system as itwould other types of external storage. For instance, the externalstorage interface 1026 can be configured to provide access to cloudstorage sources as if those sources were physically connected to thecomputer 1002.

The computer 1002 can be operable to communicate with any wirelessdevices or entities operatively disposed in wireless communication,e.g., a printer, scanner, desktop and/or portable computer, portabledata assistant, communications satellite, any piece of equipment orlocation associated with a wirelessly detectable tag (e.g., a kiosk,news stand, store shelf, etc.), and telephone. This can include WirelessFidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, thecommunication can be a predefined structure as with a conventionalnetwork or simply an ad hoc communication between at least two devices.

The above description includes non-limiting examples of the variousembodiments. It is, of course, not possible to describe everyconceivable combination of components or methodologies for purposes ofdescribing the disclosed subject matter, and one skilled in the art mayrecognize that further combinations and permutations of the variousembodiments are possible. The disclosed subject matter is intended toembrace all such alterations, modifications, and variations that fallwithin the spirit and scope of the appended claims.

With regard to the various functions performed by the above describedcomponents, devices, circuits, systems, etc., the terms (including areference to a “means”) used to describe such components are intended toalso include, unless otherwise indicated, any structure(s) whichperforms the specified function of the described component (e.g., afunctional equivalent), even if not structurally equivalent to thedisclosed structure. In addition, while a particular feature of thedisclosed subject matter may have been disclosed with respect to onlyone of several implementations, such feature may be combined with one ormore other features of the other implementations as may be desired andadvantageous for any given or particular application.

The terms “exemplary” and/or “demonstrative” as used herein are intendedto mean serving as an example, instance, or illustration. For theavoidance of doubt, the subject matter disclosed herein is not limitedby such examples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent structures and techniques known to one skilled inthe art. Furthermore, to the extent that the terms “includes,” “has,”“contains,” and other similar words are used in either the detaileddescription or the claims, such terms are intended to be inclusive—in amanner similar to the term “comprising” as an open transitionword—without precluding any additional or other elements.

The term “or” as used herein is intended to mean an inclusive “or”rather than an exclusive “or.” For example, the phrase “A or B” isintended to include instances of A, B, and both A and B. Additionally,the articles “a” and “an” as used in this application and the appendedclaims should generally be construed to mean “one or more” unless eitherotherwise specified or clear from the context to be directed to asingular form.

The term “set” as employed herein excludes the empty set, i.e., the setwith no elements therein. Thus, a “set” in the subject disclosureincludes one or more elements or entities. Likewise, the term “group” asutilized herein refers to a collection of one or more entities.

The terms “first,” “second,” “third,” and so forth, as used in theclaims, unless otherwise clear by context, is for clarity only anddoesn't otherwise indicate or imply any order in time. For instance, “afirst determination,” “a second determination,” and “a thirddetermination,” does not indicate or imply that the first determinationis to be made before the second determination, or vice versa, etc.

The description of illustrated embodiments of the subject disclosure asprovided herein, including what is described in the Abstract, is notintended to be exhaustive or to limit the disclosed embodiments to theprecise forms disclosed. While specific embodiments and examples aredescribed herein for illustrative purposes, various modifications arepossible that are considered within the scope of such embodiments andexamples, as one skilled in the art can recognize. In this regard, whilethe subject matter has been described herein in connection with variousembodiments and corresponding drawings, where applicable, it is to beunderstood that other similar embodiments can be used or modificationsand additions can be made to the described embodiments for performingthe same, similar, alternative, or substitute function of the disclosedsubject matter without deviating therefrom. Therefore, the disclosedsubject matter should not be limited to any single embodiment describedherein, but rather should be construed in breadth and scope inaccordance with the appended claims below.

What is claimed is:
 1. A non-transitory machine-readable medium,comprising executable instructions that, when executed by a processor,facilitate performance of operations, comprising: based on an analysisof radio access network data received via a radio access network,generating, via a data collection, analysis and events function of amanagement platform, a parameter for the radio access network;including, via the data collection, analysis and events function, theparameter for the radio access network in an instance of a defined datastructure, wherein a definition of the defined data structure permitsdifferent instances of the defined data structure to comprise differentparameters for different radio access networks; and outputting, via thedata collection, analysis and events function, the instance of thedefined data structure, wherein the management platform formats theinstance of the defined data structure for the radio access network anddelivers a corresponding formatted data structure to an elementmanagement system for the radio access network.
 2. The non-transitorymachine-readable medium of claim 1, wherein the operations furthercomprise approving the parameter via a control loop coordinator of themanagement platform or a policy manager of the management platform. 3.The non-transitory machine-readable medium of claim 1, wherein theoperations further comprise sending the instance of the defined datastructure via a data movement as a platform interface to a softwaredefined networking device of the management platform.
 4. Thenon-transitory machine-readable medium of claim 3, wherein theoperations further comprise receiving the instance of the defined datastructure at the software defined networking device of the managementplatform, and wherein the software defined networking device of themanagement platform formats the instance of the defined data structurefor the radio access network and delivers the corresponding formatteddata structure to the element management system for the radio accessnetwork.
 5. The non-transitory machine-readable medium of claim 4,wherein the software defined networking device of the managementplatform formats the instance of the defined data structure for multiplerespective radio access networks.
 6. The non-transitory machine-readablemedium of claim 5, wherein the software defined networking device of themanagement platform formats the instance of the defined data structurefor the multiple respective radio access networks by communicating theinstance of the defined data structure to multiple respective adaptorscorresponding to the multiple respective radio access networks.
 7. Thenon-transitory machine-readable medium of claim 6, wherein the multiplerespective adaptors generate multiple respective formatted datastructures for the multiple respective radio access networks.
 8. Thenon-transitory machine-readable medium of claim 1, wherein the parametercomprises an adjustable interface element for radio access network nodesof the radio access network.
 9. The non-transitory machine-readablemedium of claim 8, wherein the element management system is adapted toprovide the formatted data structure to the radio access network nodesof the radio access network, the formatted data structure enablingcontrol, by the management platform, of the parameter at the radioaccess network nodes.
 10. A method, comprising: generating, by networkequipment comprising a processor and comprises a data collection,analysis and events function of a management platform, a radio accessnetwork parameter based on an analysis of radio access network data froma radio access network, wherein the radio access network parametercomprises an adjustable interface element for control of radio accessnetwork nodes of the radio access network by the management platform;including, by the network equipment comprising the data collection,analysis and events function, the radio access network parameter in amanagement platform payload; and outputting, by the network equipmentcomprising the data collection, analysis and events function, themanagement platform payload for further processing by the networkmanagement platform, wherein the further processing comprises formattingthe radio access network parameter in multiple different formats fordeployment to multiple different radio access network element managementsystems.
 11. The method of claim 10, wherein the further processing bythe network management platform comprises approving the radio accessnetwork parameter by a control loop coordinator of the networkmanagement platform.
 12. The method of claim 10, wherein the furtherprocessing by the network management platform comprises approving theradio access network parameter by policy manager of the networkmanagement platform.
 13. The method of claim 10, wherein the formattingthe radio access network parameter in multiple different formats isperformed by a software defined networking function of the networkmanagement platform.
 14. The method of claim 13, wherein the softwaredefined networking function of the network management platform formatsthe radio access network parameter in multiple different formats usingmultiple different adaptors that generate multiple different radioaccess network files.
 15. The method of claim 14, wherein the multipledifferent radio access network files each comprise the radio accessnetwork parameter and different respective radio access network fileproperties associated with respective ones of the multiple differentradio access network element management systems.
 16. The method of claim15, wherein the different respective radio access network fileproperties utilize different respective syntaxes.
 17. Network equipment,comprising: a processor; and a memory that stores executableinstructions that, when executed by the processor, facilitateperformance of operations, comprising: analyzing, by a data collection,analysis and events function of a management platform of the networkequipment, radio access network data received via a radio accessnetwork; generating, based on a result of the analyzing, a parametercomprising an adjustable interface element for control of radio accessnetwork nodes of the radio access network by the management platform;including the parameter in a management platform payload; and providingthe management platform payload to a different function of the networkmanagement platform, other than the data collection, analysis and eventsfunction, in order to format and deploy the parameter to multipledifferent radio access network element management systems associatedwith multiple different radio access networks, wherein each of themultiple different radio access network element management systemscomprises a different parameter syntax requirement.
 18. The networkequipment of claim 17, wherein the different function of the networkmanagement platform comprises a software defined networking componentequipped with multiple different adaptors configured to generatemultiple different radio access network files based on the managementplatform payload.
 19. The network equipment of claim 17, wherein theoperations further comprise collecting the radio access network data bya data collector.
 20. The network equipment of claim 17, whereinanalyzing the radio access network data is performed by an analyticsmicroservice of the data collection, analysis and events function.